ArticleApplied nursing research : ANR2019
Mexican Americans' diabetes symptom prevalence, burden, and clusters.
Article in Applied nursing research : ANR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prevalence of xerostomia in patients with type 2 diabetes mellitus: a systematic review and meta-analysis.BMC oral health · 2025Pooled it
- Impact of Multimorbidity on Symptom Burden and Symptom Clusters in Patients Receiving Chemotherapy.Cancer medicine · 2025Article
- Article
- Symptom clusters in breast cancer survivors with and without type 2 diabetes over the cancer trajectory.Asia-Pacific journal of oncology nursing · 2024Article
- Prevalence and burden of diabetes mellitus-related symptoms in patients with type 2 diabetes mellitus: A cross-sectional study.Malaysian family physician : the official journal of the Academy of Family Physicians of Malaysia · 2023Article
- Characterization of Symptoms and Symptom Clusters for Type 2 Diabetes Using a Large Nationwide Electronic Health Record Database.Diabetes spectrum : a publication of the American Diabetes Association · 2022Article
- Characterizing shared and distinct symptom clusters in common chronic conditions through natural language processing of nursing notes.Research in nursing & health · 2021Article
- Fatigue, Pain, Sleep Difficulties, and Depressive Symptoms in Mexican Americans and Chinese Americans with Type 2 Diabetes.Journal of immigrant and minority health · 2020Article
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Authors and funding
4 authors.
Funding
Abstract
aimsType 2 diabetes mellitus (T2DM), serious and increasingly prevalent among Mexican Americans, produces symptoms related to high and low glucose levels, medication side effects, and long-term complications. This secondary analysis explored symptom prevalence, differences among symptom burden levels, and how symptoms clustered.
methodsClinical measurements and survey data (demographic, quality of life, and the symptom subscale of the Diabetes Symptom Self-Management Inventory) collected from Mexican American adults with T2DM (n = 71) were analyzed for symptom prevalence, differences across levels of symptom burden, and symptom clusters. Agglomerative hierarchical and k-means clustering analyses were performed on a Gower matrix. Internal validation methods and rank aggregation were used to identify the best clustering method of the two techniques and to identify symptoms that clustered together.
resultsParticipants reported mean = 14 symptoms; tiredness and trouble sleeping were most prevalent. People with high symptom burden had significantly lower quality of life and perceptions of worse diabetes severity. Hierarchical clustering produced three symptom clusters: cluster 1 = 9 symptoms (e.g. intense thirstiness, dry mouth); cluster 2 = 9 symptoms (e.g., itching skin, weight gain, noise or light sensitivity); cluster 3 = 13 symptoms (e.g., nervous, headache, trouble concentrating, and memory loss).
conclusionMexican Americans with T2DM report several co-occurring symptoms. Quality of life is significantly worse for people with high symptom burden. Three distinct symptom clusters were identified. Studies with larger samples are needed to further diabetes symptom science. Clinicians should assess and address patients' co-occurring symptoms as a potential means of decreasing symptom burden and improving quality of life.
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